AI ARCHITECT

Vaspire Technologies Inc.; Plainsboro Township (NJ); On-site; USD 130,000 - 170,000; Full time

Job summary

Vaspire Technologies Inc. is seeking a data science professional to advance AI initiatives in a fast-paced environment in Plainsboro, NJ. The role focuses on building scalable ML solutions from data exploration to deployment, with emphasis on SQL and Python.

You will collaborate with product and engineering teams to translate business needs into data-driven outcomes, staying current with GenAI trends and emerging AI frameworks.

Qualifications

• Experience in data science, ML, AI or related fields.
• Strong proficiency in SQL and Python.
• Hands-on data analysis, feature engineering, model development and deployment.
• Understanding of Generative AI concepts including LLMs, prompt engineering, RAG, AI agents.
• Ability to translate business requirements into data-driven outcomes.
• Willingness to learn new AI/ML trends.

Responsibilities

• Collaborate with cross-functional teams to translate business problems into data-driven solutions.
• Develop, evaluate and deploy ML models.
• Work with structured and unstructured data to build scalable AI/ML solutions.
• Monitor and iterate on AI products and deployments.

Skills

SQL

Python

Data Science

Machine Learning

AI concepts

GenAI

Tools

Snowflake

Cortex

MLOps

APIs

Job description

• Experience in Data Science, Machine Learning, Artificial Intelligence, or related fields, with strong proficiency in SQL and Python. (preferably SQL)
• Hands-on experience in data analysis, feature engineering, model development, evaluation, and deployment of machine learning solutions to solve business problems.
• Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols such as MCP.
• Ability to work with structured and unstructured data, build scalable AI/ML solutions, and collaborate with cross-functional teams to translate business requirements into data-driven outcomes.
• Strong problem-solving, analytical, and communication skills, with a demonstrated willingness and enthusiasm to learn new technologies, tools, and emerging AI/ML trends in a fast-evolving landscape.

Preferred Qualifications

• Experience with Snowflake data platform; exposure to Snowflake AI capabilities and Cortex services will be an added advantage.
• Familiarity with MLOps, model deployment, monitoring, and AI application lifecycle management.
• Knowledge of data warehousing, data engineering concepts, and API integrations.
• Exposure to GenAI application development, vector databases, semantic search, and AI orchestration frameworks.